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Inborn Errors of Metabolism Collaborative (IBEMC): Large scale data collection about long-term follow-up for newborn-screened conditions

PURPOSE: The Inborn Errors of Metabolism Information System (IBEM-IS) collects data on clinical history of inborn errors of metabolism (IBEM). The IBEM-IS is accessible to metabolic clinics nationwide and seeks: 1) to impact clinical management for affected individuals and 2) to provide information...

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Autores principales: Berry, Susan A., Leslie, Nancy D., Edick, Mathew J., Hiner, Sally, Justice, Kaitlin, Cameron, Cynthia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116297/
https://www.ncbi.nlm.nih.gov/pubmed/27195819
http://dx.doi.org/10.1038/gim.2016.57
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author Berry, Susan A.
Leslie, Nancy D.
Edick, Mathew J.
Hiner, Sally
Justice, Kaitlin
Cameron, Cynthia
author_facet Berry, Susan A.
Leslie, Nancy D.
Edick, Mathew J.
Hiner, Sally
Justice, Kaitlin
Cameron, Cynthia
author_sort Berry, Susan A.
collection PubMed
description PURPOSE: The Inborn Errors of Metabolism Information System (IBEM-IS) collects data on clinical history of inborn errors of metabolism (IBEM). The IBEM-IS is accessible to metabolic clinics nationwide and seeks: 1) to impact clinical management for affected individuals and 2) to provide information to support public health decision-making. METHODS: Thirty centers in 21 states are enrolling persons with newborn-screened conditions, collecting information on diagnosis and treatment at the time of enrollment and all subsequent visits. Prospective data are collected using electronic capture forms allowing aggregation of information regarding outcomes for individuals affected with IBEM. RESULTS: 1893 subjects have been enrolled in the IBEM-IS and >540,000 individual data points have been collected. Data collection has been initiated for subjects with 41 of 46 conditions on the RUSP; 4 conditions have >100 subjects enrolled. Median follow-up time for subjects with >1 visit (n=898) is 1.5 years (interquartile range = 2.2 years). Subjects with critical conditions are more likely to have emergency letters and sick-day plans. Mortality was exclusive to children with critical conditions. CONCLUSION: Large-scale prospective data collection can be accomplished for individuals with rare conditions, permitting enhanced decision-making for clinical management and supporting decision-making in public health newborn screening programs.
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spelling pubmed-51162972016-12-02 Inborn Errors of Metabolism Collaborative (IBEMC): Large scale data collection about long-term follow-up for newborn-screened conditions Berry, Susan A. Leslie, Nancy D. Edick, Mathew J. Hiner, Sally Justice, Kaitlin Cameron, Cynthia Genet Med Article PURPOSE: The Inborn Errors of Metabolism Information System (IBEM-IS) collects data on clinical history of inborn errors of metabolism (IBEM). The IBEM-IS is accessible to metabolic clinics nationwide and seeks: 1) to impact clinical management for affected individuals and 2) to provide information to support public health decision-making. METHODS: Thirty centers in 21 states are enrolling persons with newborn-screened conditions, collecting information on diagnosis and treatment at the time of enrollment and all subsequent visits. Prospective data are collected using electronic capture forms allowing aggregation of information regarding outcomes for individuals affected with IBEM. RESULTS: 1893 subjects have been enrolled in the IBEM-IS and >540,000 individual data points have been collected. Data collection has been initiated for subjects with 41 of 46 conditions on the RUSP; 4 conditions have >100 subjects enrolled. Median follow-up time for subjects with >1 visit (n=898) is 1.5 years (interquartile range = 2.2 years). Subjects with critical conditions are more likely to have emergency letters and sick-day plans. Mortality was exclusive to children with critical conditions. CONCLUSION: Large-scale prospective data collection can be accomplished for individuals with rare conditions, permitting enhanced decision-making for clinical management and supporting decision-making in public health newborn screening programs. 2016-05-19 2016-12 /pmc/articles/PMC5116297/ /pubmed/27195819 http://dx.doi.org/10.1038/gim.2016.57 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Berry, Susan A.
Leslie, Nancy D.
Edick, Mathew J.
Hiner, Sally
Justice, Kaitlin
Cameron, Cynthia
Inborn Errors of Metabolism Collaborative (IBEMC): Large scale data collection about long-term follow-up for newborn-screened conditions
title Inborn Errors of Metabolism Collaborative (IBEMC): Large scale data collection about long-term follow-up for newborn-screened conditions
title_full Inborn Errors of Metabolism Collaborative (IBEMC): Large scale data collection about long-term follow-up for newborn-screened conditions
title_fullStr Inborn Errors of Metabolism Collaborative (IBEMC): Large scale data collection about long-term follow-up for newborn-screened conditions
title_full_unstemmed Inborn Errors of Metabolism Collaborative (IBEMC): Large scale data collection about long-term follow-up for newborn-screened conditions
title_short Inborn Errors of Metabolism Collaborative (IBEMC): Large scale data collection about long-term follow-up for newborn-screened conditions
title_sort inborn errors of metabolism collaborative (ibemc): large scale data collection about long-term follow-up for newborn-screened conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116297/
https://www.ncbi.nlm.nih.gov/pubmed/27195819
http://dx.doi.org/10.1038/gim.2016.57
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